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- Tasks: Create insightful dashboards and reports to enhance logistics performance.
- Company: Leading UK retailer with a vibrant and dynamic logistics team.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Why this job: Join a fast-paced environment and make a real impact with your data skills.
- Qualifications: Proficiency in SQL or Python and experience with Tableau or Power BI.
- Other info: Exciting career development opportunities in a supportive team.
The predicted salary is between 36000 - 60000 £ per year.
A leading UK retailer based in South Elmsall is seeking a knowledgeable Data Analyst to join their dynamic logistics team. The individual will bridge business needs with delivery, developing reports and dashboards, and providing analytical support.
Essential skills include:
- Proficiency in SQL or Python
- Strong visualization abilities using tools like Tableau or Power BI
- The capacity to communicate complex data in an understandable manner
The role aims to improve performance and service levels in a fast-paced logistics environment.
Logistics Data Analyst – Dashboards & Insights employer: NEXT Retail Ltd.
Contact Detail:
NEXT Retail Ltd. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Logistics Data Analyst – Dashboards & Insights
✨Tip Number 1
Network like a pro! Reach out to people in the logistics and data analysis field on LinkedIn. Join relevant groups and engage in discussions to get your name out there and learn about potential job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best dashboards and reports. Use tools like Tableau or Power BI to demonstrate your visualisation abilities, and make sure to highlight any projects where you’ve used SQL or Python.
✨Tip Number 3
Prepare for interviews by brushing up on common data analysis questions. Be ready to explain how you’ve used data to solve problems in the past, and practice communicating complex data insights in a simple way.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might be perfect for you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Logistics Data Analyst – Dashboards & Insights
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your proficiency in SQL or Python right from the get-go. We want to see how you can use these tools to create impactful dashboards and reports, so don’t hold back!
Visualisation is Key: If you've got experience with Tableau or Power BI, let us know! Share examples of how you've used these tools to turn complex data into easy-to-understand visuals. It’s all about making data digestible for everyone.
Communicate Clearly: Remember, we’re looking for someone who can bridge the gap between data and business needs. Use your application to demonstrate how you’ve communicated complex data insights in a straightforward way before.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It’s the best way for us to keep track of your application and ensure it gets the attention it deserves!
How to prepare for a job interview at NEXT Retail Ltd.
✨Know Your Data Tools
Make sure you're well-versed in SQL and Python, as these are essential for the role. Brush up on your skills and be ready to discuss specific projects where you've used these tools to solve problems or improve processes.
✨Showcase Your Visualisation Skills
Familiarise yourself with Tableau or Power BI before the interview. Prepare examples of dashboards you've created and be ready to explain how they helped drive decisions or improve performance in a logistics context.
✨Communicate Clearly
Practice explaining complex data insights in simple terms. The ability to communicate effectively is crucial, so think of ways to present your findings that would resonate with non-technical stakeholders.
✨Understand the Business Needs
Research the company and its logistics operations. Be prepared to discuss how your analytical skills can directly address their business challenges and contribute to improving service levels in their fast-paced environment.
